Enhancements for a Dynamic Data Warehousing and Mining System for Large-Scale Human Social Cultural Behavioral (HSBC) Data

Abstract

In this project, to continue our development of a system that can dynamically collect and warehouse unfiltered textual communication data and make this data available to support HSCB modeling, decision making, and course of action development, we have (i) developed algorithms and an end-to-end computational framework to support graph analysis and visualization, (ii) developed graph querying capabilities such as top K and n-hop neighborhood, (iii) developed automated YouTube video metadata collection and analysis of YouTube data, and (iv) developed automated VK data collection and analysis of VK data. The features arereleased as part of Scraawl 2.0.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 26, 2016
Accession Number
AD1017896

Entities

People

  • Onur Savas

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Automation
  • Computations
  • Contracts
  • Data Warehousing
  • Databases
  • Friendship
  • Intelligent Automation
  • Language
  • Media
  • Metadata
  • Online Communications
  • Social Media
  • Social Networking Services
  • Social Networks
  • Visualizations

Fields of Study

  • Computer science

Readers

  • Business Analytics
  • Database Systems and Applications
  • Distributed Systems and Data Platform Development